Introduction to Python (Paperback)

David Baez-Lopez

ISBN 10: 1032119101 / ISBN 13: 9781032119106

Published by Taylor & Francis Ltd, 2024

About this Item

Paperback. Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool.The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book.FeaturesCovers introductory and advanced material. Advanced material includes lists, dictionaries, tuples, arrays, plotting using Matplotlib, object-oriented programmingSuitable as a textbook for advanced undergraduates or postgraduates, or as a reference for researchers and professionalsSolutions manual, code, and additional examples are available for download The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book. This book is written in such a way that it can also serve as a self-contained handbook for professionals working in various fields. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032119106

Bibliographic Details

Title: Introduction to Python (Paperback)

Publisher: Taylor & Francis Ltd

Publication Date: 2024

Binding: Paperback

Condition: new

About this title

Synopsis:

Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool.

The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book.

Features

• Covers introductory and advanced material. Advanced material includes lists, dictionaries, tuples, arrays, plotting using Matplotlib, object-oriented programming
• Suitable as a textbook for advanced undergraduates or postgraduates, or as a reference for researchers and professionals
• Solutions manual, code, and additional examples are available for download

About the Author:

David Báez-López obtained a B.S. in Physics in 1973 from the Universidad Autonoma de Puebla, Mexico where he graduated with Honors. He also attended the University of Arizona where he obtained the M.S. and Ph.D. degrees, both in Electrical Engineering, in 1976 and 1979, respectively. From 1979 to 1984 he was a researcher at Department of Electronics at National Institute for Astrophysics, Optics, and Electronics, located in Tonantzintla, Puebla, Mexico, and he became Head of The Department of Electronics and Graduate Coordinator. In 1985 he joined Universidad de las Americas-Puebla, Mexico as a professor and in 1988 became Chairman of the Department of Electronic Engineering until 1994. He was a member of the National Systems of Researchers. He retired in 2015 and now is Academic Director in EDUPROTEC A.C. in Puebla, Mexico, a non-governmental organization dedicated to the improvement of mathematics learning, among other topics. He has authored books on circuit simulation, MATLAB, Python, and Mathematica in English and Spanish. A Chinese edition of a book on MATLAB was published in 2017.

David Alfredo Báez Villegas is an electrical engineer with master’s degrees in Project Management (École de Technologie Supérieure, Montréal) and Electrical Engineering (Texas A&M University, Texas Tech University). He holds a B.S. in Electronic Engineering from Universidad de las Americas-Puebla, Mexico, and M.S in Electrical Engineering from Texas Tech University and Texas A&M University (TAMU). He worked as an assistant to the Office of International Affairs at TAMU before moving to Montreal, Canada. Since 2015 he has been a consultant in project management.